This visualization represents macroscopic snapshots of IPv4 and IPv6 Internet topology samples captured in January 2015. For the IPv4 map, CAIDA collected data from 118 monitors located in 42 countries on 6 continents. For the IPv6 map, CAIDA collected data from 47 Ark monitors located in 25 countries on 6 continents.

We are now deploying small, inexpensive network measurement nodes, based on the Raspberry Pi, in the Ark measurement infrastructure. Although tiny, a Raspberry Pi is as capable as a desktop system of several generations ago and offers a flexible Linux-powered programmable platform for conducting networking research. These systems can be placed anywhere that is convenient for a hosting site, including on someone's desk, and the transition from deploying traditional rack-mounted servers to Raspberry Pi's will allow us to scale up the Ark infrastructure.

We present the BETA version of AS Rank, CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC. ASes are ranked by their customer cone size, which is the number of their direct and indirect customers. Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric.

In addition to understanding the routing policies between networks (autonomous systems), understanding where those networks interconnect is relevant to both technical and economic aspects of the Internet's inter-domain structure and stability. We offer an annotated version of our AS relationships data set that estimates the geographic location of links between pairs of networks.

To visualize large-scale Internet events, such as a large region losing connectivity, or a stealth probe of the entire IPv4 address space, we coordinated views to study the temporal evolution of an event along different dimensions, including geographic spread, topological (address space) coverage, and traffic impact. In early 2011, there was a government-mandated Internet blackout in Egypt, which isolated the country from the rest of the Internet for more than five days. The view pictured combines a geographical representation of Egypt region along with animations of the source addresses observed during the event, both at a global level, and from the 41.0.0.0/8 network delegated to AfriNIC.

We analyzed the reputation of a country's Internet (IPv4) addresses by examining the number of blacklisted IPv4 addresses that geolocate to a given country. We compared this indicator with two qualitative measures of each country's governance. We found a correlation exists between perceived corruption and fraction of blacklisted IP addresses.

DatCat lets you find, annotate, and cite data. The goals of the system are: 1) to facilitate searching for and sharing of data among researchers, 2) to enhance documentation of datasets via a public annotation system, and 3) to advance network science by promoting reproducible research. DatCat version 3.0 makes it easier than ever to find Collections of relevant data and get right to downloading them.

The DNS workload animated maps show the number of queries and clients seen by one of the .CL nameservers in Chile and its hourly variation along two days of traces beginning on July 3rd 2007 at 21:00 (UTC). The animation provides a view of the world map and colors countries based on the load that each country originates.

This visualization shows the geographic distribution of DNS clients for anycast instances. We provide two world maps for each root, with individual anycast servers placed on the map at the "center of influence" of its observed clients. Wedges fanning out from each server indicate the direction, distance, and number of clients observed within the bounding angle of the wedge.